The application of simulated annealing alogorithm in the fault diagnosis of rotary mechanism
Abstract：In this paper,we established the artificial neural network of the fault diagnosis of rotary mechanism using simulated annealing algorithm.We trained the neural network with seven kinds of fault sample of rotary mechanism and apply the neural network model to identify the samples to be identified.The result indicates that the simulated annealing algorithm is efficient in the fault diagnosis of rotary mechanism.
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Publication Date：2001-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 54-56 )